Cloud & Data Eng Manager: Lead Scalable AI Platforms

EY; Salt Lake City (UT); Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Job summary

EY is seeking a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable, production-ready solutions across the platform lifecycle. You will own workstreams, client interactions, budgets and engagement economics while developing technical talent and delivering high-availability services on Azure and Kubernetes.

The role requires strong cloud architecture skills, Terraform automation and experience with CI/CD, SRE practices, and agile delivery.

Qualifications

• Bachelor’s degree required (4-year degree).
• Typically, no less than 4 - 6 years of relevant experience.
• Proven experience operating High Availability services on Azure (4+ years).
• Expert understanding of core Azure services: Azure Functions, Azure Container Apps or App Service, Azure SQL Database, Azure Blob Storage, AKS, Azure Monitor, and Azure Managed Prometheus.
• Experience designing, deploying and managing container orchestration platforms using Kubernetes.
• Experience implementing SRE standards for resiliency and scalability of microservice architectures in Kubernetes.
• Experience with infrastructure automation using Terraform.
• Experience implementing SLIs, SLOs and Error Budgets as part of development/delivery practices.
• Experience monitoring container-based microservices & Cloud Platform services.
• CI/CD tools - GitHub Actions, Azure DevOps.
• Knowledge of Agile methodologies.

Responsibilities

• Lead one or more technical workstreams and assure delivery quality.
• Translate business and client requirements into architecture, pipelines, models, semantic layers or production platforms.
• Maintain daily client engagement, participate in working sessions and identify adjacent service opportunities.
• Manage resource plans, budgets and engagement economics.
• Own problems from raw source through data pipeline, model/analysis and production handoff.
• Automate, optimize and drive efficiency in processes, tools and communication across cross-functional teams.
• Remain hands-on: tested, version-controlled, observable code.
• Work closely with development teams and planning to achieve availability, reliability and performance.
• Design, provision, and run the underlying cloud and container platform used by production teams.
• Build scalable pipelines and streaming architectures using Python/SQL and cloud platforms (Azure predominant).
• Understand and apply data architecture, modelling, integration, quality, security and ontologies.

Skills

Azure cloud

Kubernetes

Terraform

CI/CD

GitHub Actions

Azure DevOps

Python/SQL

Agile

SRE practices

Cloud architecture

Education

Bachelor’s degree

4–6 years experience

Tools

Azure Functions

Azure Container Apps

AKS

Prometheus

Terraform

GitHub

GitOps

Log Analytics

Job description

EY is seeking a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable, production-ready solutions across the platform lifecycle. You will own workstreams, client interactions, budgets and engagement economics while developing technical talent and delivering high-availability services on Azure and Kubernetes.

The role requires strong cloud architecture skills, Terraform automation and experience with CI/CD, SRE practices, and agile delivery.